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CrewAI vs iLang Inc.

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

CrewAI compared with iLang Inc.
Detail CrewAIiLang Inc. logo iLang Inc.
What it doesThe Enterprise Agent Build & Runtime for the work your business runs on The native language of AI; in human terms, a protocol.
StageNot given Startup
FoundedNot given 2026
Based inNot given CA
Pricing modelFreemium Open source
PricingFree plan with 50 workflow executions per month and visual editor. Enterprise plan with custom pricing includes governance, dedicated VPC, and comprehensive support. Not given
Key features
  • Visual editor and AI copilot
  • No-code visual editor, exportable to Python
  • Code-first API built for total control
  • Real-time tracing of every LLM call, tool call, and memory read
  • RBAC and audit with immutable audit trails and Enterprise IAM
  • Human-in-the-loop approval gates and intervention during execution
  • Runtime hooks inject PII redaction and policy checks
  • Automated and human-guided training for continuous improvement
  • Multi-LLM testing for model swapping at runtime
  • GitHub integration
  • AI-native communication protocol with 88 verbs and two syntaxes
  • AI See: give any AI model vision by pasting i.ilang.ai URLs
  • Zero installation required, pure text format
  • Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
  • Loader available via pip and npm for automatic protocol injection
  • Prompt compression: 67% reduction in tokens for typical instructions
What makes it different
  • Agentic use case generator powered by billions of agent runs
  • Intelligently guided by 700k agent workflow patterns
  • Control Plane sits in execution path ensuring every agent interaction is observable, compliant, and reversible
  • Every production run turns into training data to sharpen accuracy and save money
  • First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
  • Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
  • Open source and MIT licensed with no royalties or approval required
  • Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
  • Tested and benchmarked with public conformance results and DOI-registered research
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)80 +1 (up) since last check38 +1 (up) since last check
Trust Flow (Majestic)317
Citation Flow (Majestic)5427
Referring domains (Majestic)828666

4 details filled in for both companies.

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